AI Execution Assurance
Zero-trust verification for AI execution.
LumiRosh applies zero-trust thinking to AI-assisted workflows, verifying whether AI output can safely become business action. The X-Ray inspects one live workflow: the model context, human authority, decision path, evidence layer, and market proof before you scale automation.
£500 beta. One workflow. Evidence memo in five business days after intake and payment confirmation.
AI verification
Is the model working with the right POV, context, memory, evidence, and blindspot checks?Human verification
Who owns direction, approval, rejection, escalation, and stop authority?Market verification
What external baseline proves the workflow creates business value instead of internal activity?The AI hangover
Enterprise AI is not failing because the models are weak.
It is failing because companies are turning AI output into business action without enough context, authority, evidence, or stop rights. AI does not need more prompts. It needs execution assurance: the missing judgment layer between human hunch and AI action.
API costs rise, but productivity stays vague.
AI outputs move faster than review capacity.
Humans approve outputs they cannot trace, challenge, or stop.
Managers get removed before anyone maps what judgment they were absorbing.
Before another tool is installed, inspect the workflow: where context enters, where judgment happens, where authority lives, where proof survives, and where the market confirms or contradicts the internal story.
What gets inspected
One workflow. Four trust surfaces.
The X-Ray is deliberately small because execution assurance has to touch real work. We do not audit your whole company. We inspect one AI-assisted workflow close enough to business consequence that weak verification now matters.
What the AI sees, misses, remembers, assumes, and repeats.
Where output becomes recommendation, approval, action, or customer/business impact.
Who can approve, reject, escalate, pause, or own the consequence.
What proof remains after execution, and whether it can survive review.
Fixed-scope beta
A small inspection before a large mistake.
For founders, operators, CISOs, CAIOs, fractional leaders, and AI owners who already have AI inside real work and need to know whether the process can be trusted before scaling it.
- One AI-assisted workflow inspected
- Written evidence memo
- AI, human, and market verification score
- First verification gate to install
- Five business days after intake and confirmation
The rule before scale